Journal of Software Engineering & Software Testing (ISSN: 2457-0516)

Vol 3, No 2 (2018)

Survey on Community Question Answering System to Solve the Lexical Gap

Authors: B. Deeppikaa, Geetha Vinodh, Sri Heera

Abstract: Web search engines give a ranked list of related documents based on users keywords which depends on various aspects like popularity measures, keyword match, frequency of accessing documents in which users have to check every specific document for getting the desired information and it causes information retrieval a prolonged process. Community Question Answering (CQA) system focus to deliver users short and precise answers instead of irrelevant documents. CQA is a specialized application which deals with information retrieval which has an ability to retrieve the right answers to questions posed in natural language. Natural Language Processing (NLP) techniques used to process a question, then searches for the required information regarding user questions to determine the answer accurately. This survey mainly focus on different approaches to solve the problems arising due to the lexical gap and also rank the accurate answers in question and answering blogs such as community question answering websites.

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